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| Tropical Cyclone Project | |
|---|---|
| Name | Tropical Cyclone Project |
| Type | Research program |
| Leader title | Director |
Tropical Cyclone Project is a multidisciplinary research initiative focused on the observation, modeling, and mitigation of tropical cyclone phenomena across multiple basins. The project integrates field campaigns, remote sensing, numerical weather prediction, and risk assessment to improve forecasting and resilience for coastal populations. It collaborates with international institutions, regional meteorological agencies, and humanitarian organizations to translate scientific advances into policy and operational practice.
The Project draws on expertise from National Oceanic and Atmospheric Administration, European Centre for Medium-Range Weather Forecasts, Japan Meteorological Agency, Australian Bureau of Meteorology, and regional centers such as India Meteorological Department and China Meteorological Administration to study tropical cyclone genesis, intensification, and track dynamics. It leverages partnerships with research universities including Massachusetts Institute of Technology, University of Miami, University of Reading, University of Tokyo, and University of Oxford, as well as collaboration with laboratories like National Center for Atmospheric Research and Jet Propulsion Laboratory. Field operations often coordinate with naval and aviation assets such as United States Air Force, Royal Australian Air Force, and civil agencies including Civil Aviation Administration of China.
Primary objectives include enhancing intensity forecasts used by agencies such as National Hurricane Center, improving rapid intensification prediction relevant to Pacific hurricane season and Atlantic hurricane season, and reducing storm surge uncertainty for regions monitored by Fiji Meteorological Service and Philippine Atmospheric, Geophysical and Astronomical Services Administration. Scope encompasses basin-scale climatology linked to El Niño–Southern Oscillation, Indian Ocean Dipole, and Atlantic Multidecadal Oscillation, as well as socio-economic vulnerability studies involving partners like United Nations Office for Disaster Risk Reduction and World Meteorological Organization.
Methodological approaches integrate observational campaigns modeled after programs such as Hurricane Research Division missions and DYNAMO fieldwork, combining airborne reconnaissance from platforms analogous to Hurricane Hunters with oceanographic sampling reminiscent of Argo (oceanography). The Project uses protocol standards from Group on Earth Observations and data sharing frameworks aligned with World Climate Research Programme to enable interoperable research across institutions like Scripps Institution of Oceanography and Lamont–Doherty Earth Observatory.
Data sources include satellite systems like Geostationary Operational Environmental Satellite, Himawari, and Sentinel-3 alongside scatterometer and microwave radiometer records from Aqua (satellite) and GCOM-W. Radiosonde and dropsonde profiles are collected following procedures developed by National Center for Atmospheric Research and archived in centers such as Global Telecommunications System. Ocean observations are supplemented by buoys from National Data Buoy Center and gliders similar to systems used by Monterey Bay Aquarium Research Institute. Historical best-track datasets referenced include those maintained by International Best Track Archive for Climate Stewardship and regional archives like HURDAT.
Numerical experiments employ dynamical cores and parameterizations used in models including Weather Research and Forecasting Model, Global Forecast System, and ensembles from European Centre for Medium-Range Weather Forecasts seasonal prediction systems. Coupled atmosphere–ocean models leverage frameworks pioneered at Geophysical Fluid Dynamics Laboratory and hybrid approaches informed by machine-learning research at Google DeepMind and academic groups at ETH Zurich. Data assimilation integrates observations via methods like four-dimensional variational assimilation developed at European Centre for Medium-Range Weather Forecasts and ensemble Kalman filters used by National Center for Atmospheric Research.
Applied outputs support operational forecasting at centers such as National Hurricane Center, hazard mapping used by FEMA, storm-surge modeling tools used by NOAA National Weather Service, and climate risk assessments informing Intergovernmental Panel on Climate Change reports. The Project’s vulnerability analyses engage stakeholders including Red Cross and Red Crescent Movement, United Nations Development Programme, and national disaster management agencies to shape evacuation planning and resilient infrastructure investment similar to projects funded by the World Bank.
Governance follows models of international consortia like Global Earthquake Model and programmatic management seen in initiatives such as Climate Model Intercomparison Project. Milestones include phased deployments inspired by experiments like Tropical Cyclone Structure (TCS) campaigns, multi-year model intercomparison rounds, and capacity-building workshops hosted with partners such as Asian Development Bank and regional meteorological services. Funding and oversight typically involve agencies including National Science Foundation, European Research Council, and national research councils corresponding to participating institutions.